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Proceedings Paper

A method of land use/land cover change detection from remote sensing image based on support vector machines
Author(s): Jiakui Tang; Yincui Hu; Xiuwan Chen; Guangxia Li
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Paper Abstract

Land cover/land use has become one of the crucial but basic tasks in carrying out a series of important work. With the development of remote sensing techniques and Geo analysis model, using remotely sensed data to monitor the status and dynamical change of land cover/land use has become one of the most rapid, credible and effectual approaches. To improve the accuracy of change detection from remote sensing image, this paper introduces a new method of change detection from remote sensing image based on support vector machine (SVM), using multi-spectral remote sensing data. We choose Hengshui city in China as a typical studying sample. The result shows that it is competitive with other recently developed methods for change detection when applied to the same data sets and yield good performance with very limited training data.

Paper Details

Date Published: 10 November 2007
PDF: 6 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 67953L (10 November 2007); doi: 10.1117/12.774864
Show Author Affiliations
Jiakui Tang, Peking Univ. (China)
Yincui Hu, Hebei Normal Univ. (China)
Xiuwan Chen, Peking Univ. (China)
Guangxia Li, Hebei Normal Univ. (China)


Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology

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